Differential frequency modulation of neural activity in the lateral cerebellar nucleus in failed and successful grasps

Jessica Cooperrider, John T. Gale, Raghavan Gopalakrishnan, Hugh H. Chan, Connor Wathen, Hyun Joo Park, Kenneth B. Baker, Aasef G. Shaikh, Andre G. Machado

Research output: Contribution to journalArticlepeer-review

6 Scopus citations


The olivo-cerebellar system has an essential role in the detection and adaptive correction of movement errors. While there is evidence of an error signal in the cerebellar cortex and inferior olivary nucleus, the deep cerebellar nuclei have been less thoroughly investigated. Here, we recorded local field potential activity in the rodent lateral cerebellar nucleus during a skilled reaching task and compared event-related changes in neural activity between unsuccessful and successful attempts. Increased low gamma (40-50. Hz) band power was present throughout the reach and grasp behavior, with no difference between successful and unsuccessful trials. Beta band (12-30. Hz) power, however, was significantly increased in unsuccessful reaches, compared to successful, throughout the trial, including during the epoch preceding knowledge of the trial's outcome. This beta band activity was greater in unsuccessful trials of high-performing days, compared to unsuccessful trials of low-performing days, indicating that this activity may reflect an error prediction signal, developed over the course of motor learning. These findings suggest an error-related discriminatory oscillatory hallmark of movement in the deep cerebellar nuclei.

Original languageEnglish (US)
Pages (from-to)27-34
Number of pages8
JournalExperimental Neurology
StatePublished - Mar 1 2016

Bibliographical note

Publisher Copyright:
© 2015 Elsevier Inc.


  • Cerebellum
  • Deep brain stimulation
  • Local field potentials
  • Skilled reaching


Dive into the research topics of 'Differential frequency modulation of neural activity in the lateral cerebellar nucleus in failed and successful grasps'. Together they form a unique fingerprint.

Cite this